Salesforce Certified CRM Analytics and Einstein Discovery Consultant - Analytics-Con-201

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different than what they manually calculated by summing the same data in the Salesforce object.
What is causing the issue with the newly synced data?

A) Differences involving trigger-updated fields
B) Differences involving formula fields
C) Differences involving flow-updated fields

2. Universal Containers (UC) is using CRM Analytics to create two datasets.
* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension
* Dataset B: Contains a list of users with a "userID" dimension
UC wants to delete all activities from Dataset A related to users in Dataset B.
How should the CRM Analytics consultant help UC achieve this?

A) Use the combination of recipe transformations: "join" and "filter".
B) Use the recipe node "delete" and set "userID" as the deletion ID.
C) Use the "update" transformation and utilize the "filter" node.

3. Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

A) Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.
B) Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width
C) Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.

4. CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A) Priority - Logic - Level of Granularity
B) Clarity - Efficiency - Consistency
C) Purpose - Structure - Surface

5. The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?

A) Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.
B) Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
C) Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.

Solutions: